English Text Classification
Collection
2 items
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Updated
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.043 | 1.0 | 1175 | 0.0082 | 0.9984 |
0.0151 | 2.0 | 2350 | 0.0038 | 0.9994 |
0.0053 | 3.0 | 3525 | 0.0009 | 0.9998 |
Base model
google-bert/bert-base-cased